This book offers key concepts and methods in image processing, examples and exercises, Java code and worked-out examples for easy inclusion in existing applications, and a supplementary website with complete Java source code, test images, and corrections.

This textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the introductory material presented in the first two volumes with additional key concepts and methods in image processing. Features: practical examples and carefully constructed chapter-ending exercises; real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners; easily adaptable Java code and completely worked-out examples for easy inclusion in existing applications; uses ImageJ; provides a supplementary website with the complete Java source code, test images, and corrections; additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements.

Presents advanced material in a practical and easily accessible manner without compromising on formal aspects Combines theory and implementation in a coherent and highly transparent manner Explains the applicability and performance of methods on illustrative examples and real images

Klappentext

This easy-to-follow textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the introductory material presented in the first two volumes (Fundamental Techniques and Core Algorithms) with additional key concepts and methods in image processing.

Features and topics:

• Practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of experience teaching this material
• Real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners
• Easily adaptable Java code and completely worked-out examples for easy inclusion in existing (and rapid prototyping of new) applications
• Uses ImageJ, the image processing system developed, maintained, and freely distributed by the U.S. National Institutes of Health (NIH)
• Provides a supplementary website with the complete Java source code, test images, and correctionswww.imagingbook.com
• Additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements This thorough, reader-friendly text will equip undergraduates with a deeper understanding of the topic and will be invaluable for further developing knowledge via self-study.

Wilhelm Burger, Ph.D., is the director of the Digital Media degree programs at the Upper Austria University of Applied Sciences at Hagenberg.

Mark J. Burge, Ph.D., is a senior principal at MITRE in Washington, D.C.

Inhalt

Introduction.- Automatic Thresholding.- Filters for Color Images.- Edge Detection in Color Images.- Edge-Preserving Smoothing Filters.- Fourier Shape Descriptors.- SIFTScale-Invariant Local Features.- Mathematical Symbols and Notation.- Vector Algebra and Calculus.- Statistical Prerequisites.- Gaussian Filters.- Color Space Transformations.